Junior — Middle
Have you encountered delays in request processing and how did you resolve them?
sobes.tech AI
Answer from AI
Request processing delays are often related to bottlenecks in performance, such as slow database access, locks, inefficient algorithms, or network issues.
Various approaches are used to address such problems:
- Profiling and logging — first, it is necessary to identify where exactly the delays occur.
- Database query optimization — indexes, caching, reducing the number of queries.
- Asynchronous processing — using CompletableFuture, reactive libraries (e.g., Reactor or RxJava) for non-blocking processing.
- Thread pools and queues — proper thread management to prevent locks.
- Caching results — for example, using Redis or built-in cache.
Example of asynchronous processing in Java with CompletableFuture:
CompletableFuture.supplyAsync(() -> fetchDataFromDb())
.thenApply(data -> processData(data))
.thenAccept(result -> sendResponse(result));
This approach helps avoid blocking the main thread and reduces delays.